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ultimately shifts in species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species
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synthetic populations and mobility digital twins for resilient and equitable transport planning. The project combines agent-based modelling, large-scale mobility data, transport networks, generative
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for extension. We are looking for someone to join our team of consumer behaviour scientists and agent-based modellers who can bring knowledge of and experience with modelling cognitive or behavioural
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already available on GPAP. Alongside this project, you will also contribute to LLM post-training and agent development for pathogen analysis, working closely with Dr Harrison Bo Hua Zhu, Professor
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clinically characterized samples, and use the results to test and refine the lab’s theory of agency. The work will generate first-author papers and an agent-based research line the candidate can carry
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-time POSITION DETAILS Employment based visa sponsorship will NOT be considered for this position. Position Number: 130220 Classification Title: Postdoctoral Associate Working Title: Postdoctoral
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-scale pediatric single-cell and spatial transcriptomic datasets. We are particularly interested in developing AI- and agent-based approaches to nominate cell-surface antigen combinations for emerging
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-centers/center-inflammation-research#/ https://wsaelenslab.sites.vib.be Company VIB is a world-leading life sciences research institute based in Flanders, Belgium. Bringing together more than 2,000
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the integration of both ecological and social data using platforms such as Marxan or prioritizr Experience with agent-based ecological modelling approaches (e.g., using R, NetLogo, or similar) Working
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interested in: LLM -driven systems for aligning real-world health data to standards like OMOP CDM , FHIR , and UMLS Agent-based workflows that explain, refine, and adapt semantic mappings over time Hybrid